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sentiment-bert-tweet
VIOLET21/sentiment-bert-tweet
sentiment-bert-tweet is a text classification model from VIOLET21. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
A BERT model fine-tuned for Indonesian tweet sentiment classification. This model classifies tweets into three sentiment categories:
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 30, 2025
- Updated
- May 1, 2025
- SHA
- a18c5fc1
Base models
Model card
From the Hugging Face model README
Sentiment BERT Tweet
A BERT model fine-tuned for Indonesian tweet sentiment classification.
This model classifies tweets into three sentiment categories:
- Positive
- Negative
- Neutral
How to Use
from transformers import pipeline
model = pipeline("text-classification", model="VIOLET21/sentiment-bert-tweet")
result = model("Saya sangat senang hari ini!")
print(result)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- id
- Created
- Apr 30, 2025
- Updated
- May 1, 2025